Patents by Inventor Tim Keosababian
Tim Keosababian has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 9703940Abstract: A computing system such as a game console maintains and updates a biometric profile of a user. In one aspect, biometric data of the user is continuously obtained from a sensor such as an infrared and visible light camera, and used to update the biometric profile using a machine learning process. In another aspect, a user is prompted to confirm his or her identify when multiple users are detected at the same time and/or when the user is detected with a confidence level which is below a threshold. A real-time image of the user being identified can be displayed on a user interface with user images associated with one or more accounts. In another aspect, the biometric profile is managed by a shell on the computing system, where the shell makes the biometric profile available to any of a number of applications on the computing system.Type: GrantFiled: December 23, 2014Date of Patent: July 11, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Ronald Forbes, Bhaven Dedhia, Tim Keosababian, Tommer Leyvand, Jinyu Li, Timothy Gerken
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Patent number: 9539500Abstract: A method for biometric identification for use with a computing device is provided herein. The method includes capturing a temporal sequence of images of the face of a user at different locations within a three-dimensional interaction space. The method further includes extracting one or more face descriptors from the images and generating a biometric template compiling the face descriptors.Type: GrantFiled: August 5, 2014Date of Patent: January 10, 2017Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Tommer Leyvand, Jinyu Li, Casey Meekhof, Tim Keosababian, Simon Stachniak, Ryan Gunn, Alan Stuart, Russ Glaser, Eddie Mays, Toan Huynh, Richard Irving, James Waletzky, Ajay Ramjee
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Patent number: 9165180Abstract: Systems and methods for face recognition are provided. In one example, a method for face recognition includes receiving a user image and detecting a user luminance of data representing the user's face. An adaptive low pass filter is selected that corresponds to the user luminance of the user's face. The filter is applied to the user image to create a filtered user image. The filtered user image is projected to create a filtered user image representation. A filtered reference image representation that has been filtered with the same low pass filter is selected from a reference image database. The method then determines whether the filtered reference image representation matches the filtered user image representation.Type: GrantFiled: October 12, 2012Date of Patent: October 20, 2015Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Eyal Krupka, Tommer Leyvand, Igor Kviatkovsky, Igor Abramovski, Tim Keosababian, Jinyu Li
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Publication number: 20150113636Abstract: A computing system such as a game console maintains and updates a biometric profile of a user. In one aspect, biometric data of the user is continuously obtained from a sensor such as an infrared and visible light camera, and used to update the biometric profile using a machine learning process. In another aspect, a user is prompted to confirm his or her identify when multiple users are detected at the same time and/or when the user is detected with a confidence level which is below a threshold. A real-time image of the user being identified can be displayed on a user interface with user images associated with one or more accounts. In another aspect, the biometric profile is managed by a shell on the computing system, where the shell makes the biometric profile available to any of a number of applications on the computing system.Type: ApplicationFiled: December 23, 2014Publication date: April 23, 2015Inventors: Ronald Forbes, Bhaven Dedhia, Tim Keosababian, Tommer Leyvand, Jinyu Li, Timothy Gerken
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Patent number: 8924735Abstract: A computing system such as a game console maintains and updates a biometric profile of a user. In one aspect, biometric data of the user is continuously obtained from a sensor such as an infrared and visible light camera, and used to update the biometric profile using a machine learning process. In another aspect, a user is prompted to confirm his or her identify when multiple users are detected at the same time and/or when the user is detected with a confidence level which is below a threshold. A real-time image of the user being identified can be displayed on a user interface with user images associated with one or more accounts. In another aspect, the biometric profile is managed by a shell on the computing system, where the shell makes the biometric profile available to any of a number of applications on the computing system.Type: GrantFiled: February 15, 2013Date of Patent: December 30, 2014Assignee: Microsoft CorporationInventors: Ronald Forbes, Bhaven Dedhia, Tim Keosababian, Tommer Leyvand, Jinyu Li, Timothy Gerken
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Publication number: 20140349747Abstract: A method for biometric identification for use with a computing device is provided herein. The method includes capturing a temporal sequence of images of the face of a user at different locations within a three-dimensional interaction space. The method further includes extracting one or more face descriptors from the images and generating a biometric template compiling the face descriptors.Type: ApplicationFiled: August 5, 2014Publication date: November 27, 2014Inventors: Tommer Leyvand, Jinyu Li, Casey Meekhof, Tim Keosababian, Simon Stachniak, Ryan Gunn, Alan Stuart, Russ Glaser, Eddie Mays, Toan Huynh, Richard Irving, James Waletzky, Ajay Ramjee
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Patent number: 8824749Abstract: A method for biometric identification for use with a computing device is provided herein. The method includes capturing a temporal sequence of images of the face of a user at different locations within a three-dimensional interaction space. The method further includes extracting one or more face descriptors from the images and generating a biometric template compiling the face descriptors.Type: GrantFiled: April 5, 2011Date of Patent: September 2, 2014Assignee: Microsoft CorporationInventors: Tommer Leyvand, Jinyu Li, Casey Meekhof, Tim Keosababian, Simon Stachniak, Ryan Gunn, Alan Stuart, Russ Glaser, Eddie Mays, Toan Huynh, Richard Irving, James Waletzky, Ajay Ramjee
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Publication number: 20140237587Abstract: A computing system such as a game console maintains and updates a biometric profile of a user. In one aspect, biometric data of the user is continuously obtained from a sensor such as an infrared and visible light camera, and used to update the biometric profile using a machine learning process. In another aspect, a user is prompted to confirm his or her identify when multiple users are detected at the same time and/or when the user is detected with a confidence level which is below a threshold. A real-time image of the user being identified can be displayed on a user interface with user images associated with one or more accounts. In another aspect, the biometric profile is managed by a shell on the computing system, where the shell makes the biometric profile available to any of a number of applications on the computing system.Type: ApplicationFiled: February 15, 2013Publication date: August 21, 2014Applicant: MICROSOFT CORPORATIONInventors: Ronald Forbes, Bhaven Dedhia, Tim Keosababian, Tommer Leyvand, Jinyu Li, Timothy Gerken
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Publication number: 20140105504Abstract: Systems and methods for face recognition are provided. In one example, a method for face recognition includes receiving a user image and detecting a user luminance of data representing the user's face. An adaptive low pass filter is selected that corresponds to the user luminance of the user's face. The filter is applied to the user image to create a filtered user image. The filtered user image is projected to create a filtered user image representation. A filtered reference image representation that has been filtered with the same low pass filter is selected from a reference image database. The method then determines whether the filtered reference image representation matches the filtered user image representation.Type: ApplicationFiled: October 12, 2012Publication date: April 17, 2014Applicant: MICROSOFT CORPORATIONInventors: Eyal Krupka, Tommer Leyvand, Igor Kviatkovsky, Igor Abramovski, Tim Keosababian, Jinyu Li
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Patent number: 8687880Abstract: Methods are provided for generating a low dimension pose space and using the pose space to estimate one or more head rotation angles of a user head. In one example, training image frames including a test subject head are captured under a plurality of conditions. For each frame an actual head rotation angle about a rotation axis is recorded. In each frame a face image is detected and converted to an LBP feature vector. Using principal component analysis a PCA feature vector is generated. Pose classes related to rotation angles about a rotation axis are defined. The PCA feature vectors are grouped into a pose class that corresponds to the actual rotation angle associated with the PCA feature vector. Linear discriminant analysis is applied to the pose classes to generate the low dimension pose space.Type: GrantFiled: March 20, 2012Date of Patent: April 1, 2014Assignee: Microsoft CorporationInventors: Yichen Wei, Fang Wen, Jian Sun, Tommer Leyvand, Jinyu Li, Casey Meekhof, Tim Keosababian
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Publication number: 20130251244Abstract: Methods are provided for generating a low dimension pose space and using the pose space to estimate one or more head rotation angles of a user head. In one example, training image frames including a test subject head are captured under a plurality of conditions. For each frame an actual head rotation angle about a rotation axis is recorded. In each frame a face image is detected and converted to an LBP feature vector. Using principal component analysis a PCA feature vector is generated. Pose classes related to rotation angles about a rotation axis are defined. The PCA feature vectors are grouped into a pose class that corresponds to the actual rotation angle associated with the PCA feature vector. Linear discriminant analysis is applied to the pose classes to generate the low dimension pose space.Type: ApplicationFiled: March 20, 2012Publication date: September 26, 2013Applicant: MICROSOFT CORPORATIONInventors: Yichen Wei, Fang Wen, Jian Sun, Tommer Leyvand, Jinyu Li, Casey Meekhof, Tim Keosababian
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Publication number: 20120257797Abstract: A method for biometric identification for use with a computing device is provided herein. The method includes capturing a temporal sequence of images of the face of a user at different locations within a three-dimensional interaction space. The method further includes extracting one or more face descriptors from the images and generating a biometric template compiling the face descriptors.Type: ApplicationFiled: April 5, 2011Publication date: October 11, 2012Applicant: MICROSOFT CORPORATIONInventors: Tommer Leyvand, Jinyu Li, Casey Meekhof, Tim Keosababian, Simon Stachniak, Ryan Gunn, Alan Stuart, Russ Glaser, Eddie Mays, Toan Huynh, Richard Irving, James Waletzky, Ajay Ramjee